{"id":"W4390885465","doi":"10.1364/optcon.513562","title":"SuPyMode: an open-source library for design and optimization of fiber optic components,","year":2024,"lang":"en","type":"article","venue":"Optics Continuum","topic":"Semiconductor Lasers and Optical Devices","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Optical fiber; Open source; Computer science; Telecommunications; Software; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001224046,0.00180623,0.0009996612,0.0008757869,0.000599563,0.001257146,0.002545679,0.0009402838,0.04225099],"category_scores_gemma":[0.002747625,0.001078116,0.001867682,0.000855833,0.0005054315,0.00134899,0.001555359,0.00184414,0.01214191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000578651,"about_ca_system_score_gemma":0.0025531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00223021,"about_ca_topic_score_gemma":0.005022925,"domain_scores_codex":[0.9993901,0.0001013781,0.00004149091,0.00007248099,0.0003246322,0.00006986933],"domain_scores_gemma":[0.9992149,0.0004370678,0.00008159834,0.00008952103,0.0001310971,0.00004578413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004273209,0.0005000096,0.007025349,0.005783739,0.000768304,0.000869817,0.0004802926,0.2048579,0.03196819,0.05746185,0.3182244,0.3716329],"study_design_scores_gemma":[0.0003505636,0.0001828334,0.002001896,0.0003660361,0.0001022005,0.0005126367,0.00007256524,0.5581527,0.0208013,0.0358257,0.3815046,0.0001270569],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008036032,0.001093192,0.8307278,0.0003817313,0.0002278263,0.0002775564,0.01367257,0.1262275,0.01935587],"genre_scores_gemma":[0.06466939,0.00181568,0.8355252,0.0006682278,0.0001135459,0.00170938,0.02246157,0.05332806,0.01970891],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04225099,"threshold_uncertainty_score":0.1413437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0238217177346694,"score_gpt":0.2341414579773775,"score_spread":0.2103197402427081,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}